Summer is here, the soccer World Cup is in full swing, and Ari Joury (PhD, particle physics; Founder & CEO of Wangari Global) is connecting the dots between the beautiful game and the hardest concepts in machine learning.
In this episode, Ari discusses his new book, Soccer Analytics with Machine Learning (O’Reilly Media), and explains why the best way to understand complex data science — from logistic regression and feature engineering to Monte Carlo simulations and causal inference — is to watch a soccer match with an analytical eye. Whether you are predicting a goal or simulating a business strategy, the math is the same. And yes, he will explain why trying to A/B test a Champions League final is a terrible idea.
Topics covered: Soccer analytics, Expected Goals (xG), Monte Carlo simulations, machine learning education, feature engineering, *Soccer Analytics with Python*, O’Reilly Media, GenAI Academy.
Wangari is the newsletter and podcast for practitioners and leaders navigating the real work of enterprise AI. New episodes every Friday.
